Marcin Michalak
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Information Systems top 10%
- Control and Systems Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Marek SikoraŁukasz WróbelDominik ŚlȩzakJesús S. Aguilar–RuizTorsten BraunAndrzej JanuszMarek GrzegorowskiA. Białas
- Topics
- Rough Sets and Fuzzy Logic (10 papers)Data Mining Algorithms and Applications (8 papers)Anomaly Detection Techniques and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Marcin Michalak
34 papers receiving 217 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 102
- Computer Networks and Communications 51
- Information Systems 50
- Control and Systems Engineering 39
- Computational Theory and Mathematics 39
Countries citing papers authored by Marcin Michalak
This map shows the geographic impact of Marcin Michalak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcin Michalak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Michalak more than expected).
Fields of papers citing papers by Marcin Michalak
This network shows the impact of papers produced by Marcin Michalak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcin Michalak. The network helps show where Marcin Michalak may publish in the future.
Co-authorship network of co-authors of Marcin Michalak
This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Michalak. A scholar is included among the top collaborators of Marcin Michalak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcin Michalak. Marcin Michalak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 30 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | Analysis of the longwall conveyor chain based on a harmonic analysis | 9 |
| 18 | Detection of human eye components on the basis of multispectral imaging | 1 |
| 19 | Selection of the most important components from multispectral images for detection of tumor tissue | 1 |
| 20 | Analiza pracy silników przenośników ścianowych - propozycje raportów i wizualizacji | 2 |
About Marcin Michalak
Marcin Michalak is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics, having authored 40 papers that have together received 236 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (8 papers) and Anomaly Detection Techniques and Applications (8 papers). The work is most often cited by research in Signal Processing (38 citations), Artificial Intelligence (102 citations) and Medical Laboratory Technology (4 citations). Marcin Michalak has collaborated with scholars based in Poland, Spain and Slovakia. Frequent co-authors include Marek Sikora, Łukasz Wróbel, Dominik Ślȩzak, Jesús S. Aguilar–Ruiz, Torsten Braun, Andrzej Janusz, Marek Grzegorowski, A. Białas, Michał Kozielski and Roman Jaksik. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.